Data Science Online Course [Updated in 2021]

Data Science & Machine Learning Course

for Beginners and Experienced Learners

Learn how to source, manipulate and visualise data using Python and its libraries. Build and refine your Machine Learning skills with the help of topics like Statistics, Trees, Neural Networks etc.

4.7

(1K+ students)

11K+

students enrolled

12

projects

17

months

70+

hours of video lectures

Data Science & Machine Learning

Projects that you will build

Neural Machine Translation

Build an advanced model for the purpose of translation of phrases and symbols from one language to the other using Artificial Neural Network.

Urban Sound Classification

Build a Neural network based model to classify various sounds using their unique spectrogram into classes such as Dog Barking, Sirens, Street Music etc.

TMDB API

Finding out the latest information about TV Shows, Movies and the biggest names in the entertainment sector for a marvelous and fun TV/Movie watching experience.

Twitter Sentiment Analysis

Analyse the tweets posted on twitter to predict the sentiment of the tweet i.e. positive, negative or neutral

Facial Emotion Recognition

Build an advanced model with the ability to predict the facial emotion of a person in an image.

Distracted Driver Detection

Build a classification model to predict using a database of images whether a given driver is distracted, ie, texting, on a call, driving safely etc

Text Generation

Build a Neural Network based model to predict what the next word will be in a sequence of words/sentences

Case Study on Indian Startups

Detailed analysis of the Indian Startups for interpretation of trends and patterns to facilitate selection of proper city, useful investors, funding type etc for different startups.

Instagram Bot

Automation of your Instagram features such as like-unlike, follow-unfollow, and much more with a simple click of a button, achieved using libraries such as BeautifulSoup and Selenium.

Text Classification

Build a classifier model using Naive Bayes algorithm to predict the topic of an article present in a newspaper

Image Classification (CIFAR-10 Dataset)

Build a classifier for classifying 10,000 images into 10 classes (dog, horse, cat etc) using the CIFAR-10 Dataset.

Course Pause

My exams are coming; I don’t know when my college will start due to COVID; I have lots of work at office, should I take the course or not?

We have introduced a Course Pause feature.

Through this, you can pause and extend your course for a certain number of days based on your course duration and easily continue with your college and semester exams, even if the college reopens in between the course.

For working professionals as well if you have a period where you have lots of work in office you can pause this course and continue once you have a lean period.

The course pause days will be based on the course duration so check your plan for the exact number of pause days

Build Facial Emotion Recognition, Distracted Driver Detection projects & impress recruiters to land great jobs

What our students say about this course?

I have taken data science and machine learning course from coding ninjas and this course has changed my life . By doing this course I easily got an internship as data analyst Thank you coding ninjas team luv ya all

Ankush Sir has extremely well knowledge of the topics and his teaching methods are easy and dedicated too. There is a well-dedicated environment for learning. The Teaching Assistants and other staff are helpful too. I personally recommend taking courses in Coding Ninjas

Ankush Sir was a great help and I had not done much development then. He helped all the students implement the main Machine Learning algorithms from scratch and how to go about using an API and frameworks. Thank you Coding Ninjas for the support and guidance.

Coding Ninjas provided a concrete platform of ML for me and now, on the basis of what I have learned, I am capable of doing really cool projects that are surprisingly appreciated by the industries as well.

The video content, assignments, and that video-locked features are awesome. The slack community of coding ninjas is extremely helpful, the Teaching Assistants are very supportive and will solve your doubt through healthy discussion

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Still unsure about the course?

Get a free counselling session from our experts

Call us on our toll free number

1800-123-3598

Best Investment Ever

85% of college students

who complete this course get jobs in tech roles

₹ 10 lpa CTC

Average salary for college students

45x

course fees recovered within first year of new job

95% of working professionals

achieve career transition within 12 months of the program

₹ 24 lpa CTC

Average salary for working professionals

45x

course fees recovered within first year of new job

*considering only package difference because of Coding Ninjas

Your Support System

Meet the team that is invested in your success throughout your journey with us

Faculty

Mentors

Placement Coach

Teaching Assistants

Ankush Singla

Co-Founder & Instructor

Teaches

Data Science and Programming Fundamentals

Nidhi Agarwal

Instructor & Founding Member

Teaches

Data Science and Programming Fundamentals

Exclusive Placement assistance

Get lifetime access to Coding Ninjas placement cell upon clearing the skill tests and become eligible for FREE Premium Account on Hirist with lots of benefits

Become a Coding Ninjas Certified Expert with a Premium Hirist Account

*Only for Pro & Premium

Top students get 6 months premium access to hirist.com, to help with added visibility during the job-search

Curated jobs and internships hand picked for you by Coding Ninjas team

Managed Placements with Coding Ninjas Point of contact to help with the process.

Non-tech interview preparation support and counselling sessions

*Only for Pro & Premium

Team of experts to help you get your resume in shape and to help you tackle softer aspects of the interview process

*Available in select plans only

Luv Misra

Google

Software Developer

Netaji Subhas University Of Technology

It's a great place to learn how to code. The way of teaching and dedication offered towards your development makes it easier to grasp the concepts even for beginners. The best part of Coding Ninjas is the faculty, I am grateful for all the guidance.

Aishwarya

Adobe

Software Engineer

Indira Gandhi Delhi Technical University for Women

One of the best mentors to guide you are here at Coding Ninjas. Loved the faculty and content, I would ask everyone who wants to learn to program to take up the courses here. Apart from this, practice is the key to ace the skills.

Sameer Garg

Samsung

Software Engineer

Netaji Subhas University Of Technology

The experience of learning at CN was overwhelming. It shaped my mindset towards solving programming questions in a systematic way that still helps me in all coding scenarios. This approach helped me in the placement season a lot.

Mahima Sachan

Microsoft

Software Developer

Motilal Nehru National Institute of Technology, Allahabad

A platform having perfectly structured courses to build your programming skills. Mentors are highly skilled and I would recommend any aspiring coder to take up these courses. Grateful for all the learnings here at Coding Ninjas

Anjali Garg

Google

Software Engineer

Netaji Subhas University Of Technology

Coding Ninjas is a great platform to start your journey with coding. I joined them in 2018 and completed the C++ course under Nidhi maam's guidance. The course helped me to understand concepts of DS and algo in-depth and moreover helped me to crack many coding tests and interviews. Whether it's faculty, placement cell, TA support, etc, Coding Ninjas is just the best. In the end, I'd like to thank all my mentors at Coding Ninjas for guiding me throughout.

Kartikey Kumar

Coding Ninjas

Teaching Assistant

Dr. A.P.J. Abdul Kalam Technical University, Lucknow

The course structure was designed very effectively for both beginners and experienced coders. Support of Mentors and Teaching Assistants helped a lot to improve my coding fundamentals and helping other students enhanced my coding skills.

Dharneesh Gupta

HSBC

Software Engineer

TIET - Thapar Institute of Engineering And Technology

It was a great learning experience. The kind of content it provides really helps in building your logic and how to approach a problem in real life too. Ankush sir has done a wonderful job in explaining the core concept of hard topics.

Tools and Technologies Covered

Course Curriculum

Introduction to Programming

Data Structures & Algorithms

Data Science

Machine Learning

Special Features

Introduction
Introduction To Data Science
What is Data Science? Work of Data Scientist, Data Science and ML, Why Python
Introduction To Python
First Program in Python, Anaconda and Jupyter Notebook, Variables in Python, Data Types, Python Numbers, Limit of Integers, Arithmetic Operators, Taking Inputs
Conditional Statements and Loops
Conditionals and Loops
Boolean Datatype, Introduction to If-Else, Using Relational and Logical Operators, Using Else If, Nested Conditionals, While Loop, Primality Checking, Nested Loops
Patterns
Introduction to Patterns, First Patterns, Square Patterns, Triangular Patterns, Character Patterns, Inverted Pattern, Reversed Pattern, Isosceles Pattern
More on Loops
For loop & Range Method, Print Multiples of 3, Check if a Number is Prime, Pattern, Break Keyword, Else keyword with loops, Continue keyword, Pass statements
Programming Basics
Functions
Functions and how to use them, Why do we need functions, How does function calling works, Functions using strings & lists, Swap Alternate, Scope of Variables, Default parameters in functions
Object-Oriented Programming Systems(OOPs)
Introduction, Create class & object, Instance Attributes, Class Attributes, Methods, Instance Methods, Constructors, Access modifiers, Class Methods & Static Methods
Data Types
Strings, List & 2D List
Strings Introduction, Strings inbuilt functions, Strings slicing, Lists Introduction, List inbuilt functions, Taking Input, Difference of Even-Odd, List Slicing, Multi-dimensional Lists
Tuples, Dictionary, and Sets
Tuples, Tuples Functions, Variable-length input and output, Dictionary Intro, Access/looping elements in dictionary, Adding Or Removing Data In Dictionary, Print All Words With Frequency K, Sets Intro, Functions in sets, Sum Of All Unique Numbers In List
Data Manipulation
Working With Files
Introduction, Open and read Text files, Read file line by line, CSV Files, Work with CSV Files, DictReader, Countrywise Killed
NumPy
Introduction, Why NumPy is fast, Create NumPy arrays, Slicing & Indexing, Mathematical Operations - 1D, Boolean Indexing - 1D, Boolean Indexing - 2D, NumPy Broadcasting
Pandas
Introduction to Pandas, Accessing Data in Pandas, Manipulating Data in Data Frame, Handling NAN, Handling Strings in Data
Matplotlib
Plotting Graphs, Customizing Graph, Bubble Chart, Pie Chart, Histogram, Bar Graph, How to decide Graph Type
Structured Query Language [SQL]
Introduction to SQL queries
Create and Insert, Update Table, Retrieve Data, Filter Result, Aggregate Functions, Update and Delete, Introduction to Databases, Relational Database, What is SQL
Advanced SQL queries
Group By, Having, Order By, IN, BETWEEN, LIKE, Joins Introduction, Inner Join, Left & Right Join
Indexing And SQLite
What is Indexing, Default Indexing, Use Default Indexing, Add & Remove Indexes, SQLite Introduction, Connect with a database, Passing parameters in a query, Fetch data, SQLite with pandas
Application Programming Interface[API]
Introduction to API
Introduction to APIs, Examples of APIs, HTTP Basics, HTTP Libraries, JSON file format, JSON to Python, Explore JSON data, Passing Parameters - 1, POST request
Working with API
Basic Authentication, Reddit Introduction, oAuth Introduction, oAuth Roles & Process, Reddit API - Get Access Token, Reddit API - Fetch Data, Reddit API - Few more operations
Web Scraping
BeautifulSoup
Scraping Introduction, HTML tour, BeautifulSoup Introduction, Navigating Parse Tree, First Web Page, Books to scrape, Link of all the pages, Store data in CSV
Selenium
Selenium Introduction, Let’s start with Selenium, Browser Interaction, Locate element - 1, Web element Methods & Properties, Find all jobs, Type into fields
Advanced Selenium
Implicit Wait, Explicit Wait, Radio buttons and checkbox, Handle dropdown,Infinitely Scroll Webpage, Infinite Scrolling, Switch tab focus, Handle popups
Data Visualisation
Introduction to Data Visualisation
Different ways for Data Visualization, Types Of Data Visualization, What is Data Visualization?, Importance Of Data Visualization
Introduction to Tableau
Automatically Generated Fields, Dimension & measure, Tableau Navigation, Data Joins and Union, Connect with Data, Tableau Installation, What is Tableau, Data Types
Tableau Visualisations
Histogram, Bar Chart, Area Chart, Adding customization, Let’s create the First plot, Understanding the Basics of Plotting, Types of charts, Line Chart
Seaborn
Categorical Distribution Plots, Categorical Scatter plots, Plotting with Categorical Data, Visualizing Statistical Relationships - ScatterPlot, Seaborn vs Matplotlib, Introduction to Seaborn, Starting with Seaborn, Visualizing Statistical Relationships - LinePlot
Statistics
Statistics
Introduction of Statistics, Data Types in Statistics, Sample & Population, Simple Random Sampling, Stratified sampling, Cluster sampling, Systematic Sampling, Categories of Statistics
Descriptive Statistics
Measures in Descriptive Statistics, Measures of central tendency, Measures of Spread, Range & IQR, Variance & Standard Deviation, Measure of Position
Introduction to Inferential Statistics
Introduction to Inferential Statistics, Why Inferential Statistics?, Probability Distribution, Normal Distribution, Standard Normal Distribution, Sampling Distribution, Central Limit Theorem
Hypothesis Testing
What is Hypothesis Testing, Null & Alternative Hypothesis, Significance Level, Test statistic, Test Statistic: Critical value & Rejection Region, Test Statistic: Type of Test, Errors in Hypothesis Testing

Frequently Asked Questions

What is Data Science Course for?

Who is eligible for a Data Science course?

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What are the most popular coding languages for Data Science?

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Data Science & Machine Learning Course

for Beginners and Experienced Learners

11K+

12

17

70+

Data Science & Machine Learning

Projects that you will build

Neural Machine Translation

Urban Sound Classification

TMDB API

Twitter Sentiment Analysis

Facial Emotion Recognition

Distracted Driver Detection

Text Generation

Case Study on Indian Startups

Instagram Bot

Text Classification

Image Classification (CIFAR-10 Dataset)

What our students say about this course?

85% of college students

95% of working professionals

Your Support System

Faculty

Mentors

Placement Coach

Teaching Assistants

Ankush Singla

Nidhi Agarwal

Exclusive Placement assistance

Luv Misra

Aishwarya

Sameer Garg

Mahima Sachan

Anjali Garg

Kartikey Kumar

Dharneesh Gupta

Tools and Technologies Covered

Course Curriculum

Introduction to Programming

Data Structures & Algorithms

Data Science

Machine Learning

Special Features

Introduction

Conditional Statements and Loops

Programming Basics

Data Types

Data Manipulation

Structured Query Language [SQL]

Application Programming Interface[API]

Web Scraping

Data Visualisation

Statistics